Pre-registered multilayer network tests across seven substrates show betweenness-based hub persistence recovers expert-described logic structures better than degree, with confirmed correlations in ISCAS85 and Lean mathlib4.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.SI 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Hub importance scores persist more strongly between functionally similar layers than dissimilar ones in multilayer networks, as evidenced by 31 pre-registered experiments across eight fields.
citing papers explorer
-
Topology as Logic: Structural Role Geometry Across Formal, Software, Biological, and Prebiotic Systems
Pre-registered multilayer network tests across seven substrates show betweenness-based hub persistence recovers expert-described logic structures better than degree, with confirmed correlations in ISCAS85 and Lean mathlib4.
-
Evidence for a Functional Proximity Law in Multilayer Networks
Hub importance scores persist more strongly between functionally similar layers than dissimilar ones in multilayer networks, as evidenced by 31 pre-registered experiments across eight fields.